Ant Colony Algorithm and its Applications to Optimization of PID Parameters

Abstract:

In this paper, an improved ACA (IACA) is used for tuning PID parameters. Firstly, the mathematical representation of conventional digital PID controller is deduced. Then genetic algorithms (GAs) and ACA are described. Thirdly, a PID controller based on IACA is designed. Computer simulation is performed for the proposed IACA-based PID controller finally. The results show that the proposed method could search the optimization PID parameters efficiently. The tryout of the designed controller in a paver walk system driven by valve-controlled motor runs well up to present.

• Periodical: Key Engineering Materials (Volumes 431-432)
• Pages: 568-571
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.431-432.568
• Online since: March 2010
• Authors: Sheng Li Song, Jian Zhao Zhou, Hai Tao Wang, Hu Sheng Feng, Ren He
• Keywords: Genetic Algorithm (GA), Improved Ant Colony Algorithm, PID Controller, Valve-Controlled Motor

References

[1] J.W. Chia and C. H. Huang: J. Franklin Inst, Vol. 334B, No. 4, pp.547-562, (1997).

[2] S.L. Song, D.W. Zuo and et al.: Key Engineering Materials, Vol. 258-259, pp.517-521, (2006).

[3] S.L. Song, D.W. Zuo and et al.: Transactions of Nanjing University of Aeronautics and Astronautics, Vol. 21, No. 1, pp.48-52, (2003).

[4] M. Dorigo, V. Maniezzo and Colorn: IEEE Transactions on Systems, Man, and Cybernetics-Part B, Vol. 26, No. 1, pp.1-13, (1996).